KS3
The third version of the K-Splanifolds algorithm, whose core improvements lie in convergence efficiency and hardware adaptability. It uses spline blocks to construct piecewise-smooth manifolds and converges significantly faster than an MLP in regression tasks.
Timeline (last 90 days)
An independent researcher recently posted a demo video on Reddit comparing the performance of his proposed K-Splanifolds version 3 (KS3) against a multi-layer perceptron (MLP) in fitting a 4D Mandelbulb fractal.
KS3 converges significantly faster than MLP under gradient descent on random samples, while GPU inference latency is roughly on par with MLP.
KS3 is the third version of the K-Splanifolds algorithm, with core improvements in convergence efficiency and hardware adaptability.
On tasks such as noise removal, geometric fitting and financial forecasting, KS3 converges noticeably faster than MLP; on large language model (LLM)-related tasks, the two perform about the same.
The observation that KS3 performs on par with MLP on LLM tasks comes from a single source and still requires more independent replication.
The author said that if someone is willing to donate 8x H100 compute, he will try to use KS3 to go after the world record for nanogpt training speed, and claims that on proxy hardware he has already found a configuration that can beat the existing record.
The generality of KS3 still requires more independent validation, and community feedback and cross-task benchmark tests will be key to judging its practical value.
All Facts (7)
On tasks such as noise removal, geometric fitting and financial forecasting, KS3 converges noticeably faster than MLP; on large language model (LLM)-related tasks, the two perform about the same.
50%UnverifiedKS3 converges significantly faster than MLP under gradient descent on random samples, while GPU inference latency is roughly on par with MLP.
50%UnverifiedKS3 is the third version of the K-Splanifolds algorithm, with core improvements in convergence efficiency and hardware adaptability.
50%UnverifiedThe observation that KS3 performs on par with MLP on LLM tasks comes from a single source and still requires more independent replication.
50%UnverifiedThe generality of KS3 still requires more independent validation, and community feedback and cross-task benchmark tests will be key to judging its practical value.
50%UnverifiedAn independent researcher recently posted a demo video on Reddit comparing the performance of his proposed K-Splanifolds version 3 (KS3) against a multi-layer perceptron (MLP) in fitting a 4D Mandelbulb fractal.
50%UnverifiedThe author said that if someone is willing to donate 8x H100 compute, he will try to use KS3 to go after the world record for nanogpt training speed, and claims that on proxy hardware he has already found a configuration that can beat the existing record.
50%